Frage 1
Frage
Big Data dedicated to
Frage 2
Frage
Requeriments of big data
Frage 3
Frage 4
Antworten
-
machine generate
-
Only human generate
-
hidden data
Frage 5
Frage 6
Frage
characteristics of data in big data
Antworten
-
complex, variety, volumen, veracity, value
-
variety, volumen, velocity, veracity, value
-
incompatibilities, value,velocity,volumen, veracity, many data
Frage 7
Frage
characteristics only of data in BigData
Frage 8
Frage 9
Frage
Human-generated data examples
Antworten
-
micro bloggin
-
web log
-
sensor data
Frage 10
Antworten
-
more value more veracity, more value more time
-
more value less veracity, more value less time
-
more value more veracity, more value less time
Frage 11
Antworten
-
operational optimization, noise information
-
scientific discoveries, actionable intelligence
-
accurate predictions, shipped cloud computing
Frage 12
Antworten
-
collections or groups of related data, shares the different set of attributes
-
collections or groups of related data, shares the same set of attributes
-
discipline of gaining an understanding of data
Frage 13
Antworten
-
discipline of gaining an understanding of data
-
process of examining data to find facts, relationships, patterns
-
collections or groups of related data, shares the same set of attributes
Frage 14
Antworten
-
process of gaining an understanding of data
-
discipline of gaining an undestanding of data by analizing it via multitude techniques
-
collections or groups of related data
Frage 15
Frage
in business-oriented, analytics
Antworten
-
results can lower operational costs and facilitate strategic decison-making
-
help identify the cause of a phenomenon to improve the accuracyof predictions
-
help strengthen the focus on delivering high quality services by driving down costs
Frage 16
Frage
in the scientific domain, analytics
Antworten
-
help strengthen the focus on delivering high quality services by driving down costs
-
results can lower operational costs and facilitate strategic decison-making
-
help identify the cause of a phenomenon to improve the accuracyof predictions
Frage 17
Frage
in services-based enviroments, analytics
Antworten
-
results can lower operational costs and facilitate strategic decison-making
-
help strengthen the focus on delivering high quality services by driving down costs
-
help identify the cause of a phenomenon to improve the accuracyof predictions
Frage 18
Frage
Business intelligent
Antworten
-
process of gaining an understanding of data
-
process of gaining insigths into the the workings of an enterprise
-
discipline of gaining an undestanding of data by analizing it via multitude techniques
Frage 19
Frage
KPI (Key performance indicators)
Antworten
-
utilize the consolidated data contained in data warehouses to run analytical queries
-
is a measure for gauging success within a particular context
-
discipline of gaining an undestanding of data by analizing it via multitude techniques
Frage 20
Antworten
-
achieve regulatory compliance
-
help identify the cause of a phenomenon to improve the accuracyof predictions
-
help strengthen the focus on delivering high quality services by driving down costs
Frage 21
Frage
measure in Big data
Antworten
-
kilometer, megabyte, gigabyte, terabyte, petabyte, exabyte, settabytte, yottabyte
-
kilobyte, megabyte, gigabyte, terabyte, petabyte, exabyte, settabytte, yottabyte
-
kilobyte, megabyte, gigabyte, terabyte, petabyte, exabyte, settabytte, youtube
Frage 22
Frage
big data emerged from a combination of business needs and technology innovations
Frage 23
Frage
analitcs & data science
Antworten
-
For many business, digital mediums have replaced physical mediums as the de facto
-
Based in opens sorce software tha requires little more than commodity hardware
-
machine learning algoritms, statistical techniques and data warehousing
Frage 24
Antworten
-
Lead to an opportunity to collect further secondary data
-
Collecting and storing more data to potentially find new insigths and gain a competitive edge
-
collecting and processing large quantities of diverse data has become increasingly affordable
Frage 25
Frage
affordable technology & commodity hardware
Antworten
-
the madurity of these fields of practice inspired and enabled much of the core functionality
-
use of commodity hardware makes the adoption of Big Data solutions accessible to business
-
some examples include on-demand TV and streaming video
Frage 26
Antworten
-
Has empowered customers to provide feedback in near-realtime via open and public mediums
-
Has resulted in massive data streams
-
are capable of providing highly scalable, on-demand IT resources that can be leased
Frage 27
Frage
hyper-connected communities & devices
Antworten
-
A an result, business are storing increasing amounts of data on customer interaction
-
leverage the infrastructure, storage and processing capabilities provided by this enviroments
-
the broadening coverage of internet and the proliferation of cellar and WI-FI networks .
Frage 28
Antworten
-
Businesses are also increasingly interested in incorporating publicly available datasets
-
Is either directly through online interaction or indirectly through the usage of connected devices
-
Can be leased dramatically reduces the required up-front investment of Big Data projects
Frage 29
Frage
Online Transaction Processing (OLTP)
Antworten
-
software system that processes transaction-oriented data
-
Is a system used for processing data analysis queries
-
process of loading data from a source system into a target system
Frage 30
Frage 31
Frage
data fully normalized
Frage 32
Frage
C R U D with subsecond response times
Frage 33
Frage
Online Analytical Processing (OLAP)
Antworten
-
software system that processes transaction-oriented data
-
Store operational data that is fully normalized
-
Is a system used for processing data analysis queries
Frage 34
Frage
data mining and machine learning processes
Frage 35
Antworten
-
Representing a common source of structured analytics input
-
Can serve as both a data source as well as a data sink that capable of receiving data
-
Big data analysis results can also be fed back
Frage 36
Antworten
-
Representing a common source of structured analytics input
-
are used in diagnostic, predictive and prescriptive analytics
-
An example ticket reservation systems and banking and POS transactions
Frage 37
Frage
data that is aggregated and denormalized
Frage 38
Antworten
-
that store historical data in multidimensional arrays and can answer complex queries
-
are comprised of simple insert, delete and update operations
-
that processes transaction-oriented data
Frage 39
Frage
An OLAP system is always
Frage 40
Frage
OLAP: denormalized data in the form of cubes
Frage 41
Frage
Extract-transform-load (ETL)
Antworten
-
allows the data to be queried during any data analysis tasks that are performes later
-
Is a process of loading data from a source system into a target system
-
queries can take several minutes or even longer, depending on the complexity of query.
Frage 42
Frage
Extract-transform-load (ETL) source
Antworten
-
database, flat file or an application
-
on-demand TV and streaming video
-
digitalization and social media
Frage 43
Antworten
-
Represents the main operation through wich data warehouses are fed data
-
Represents the main operation through wich datasets are fed data
-
Represents de main operation through wich database are fed data
Frage 44
Antworten
-
Extract load transform
-
Extract transform load
-
Extract transform leave
Frage 45
Frage 46
Frage
Data Warehouses EDWH has historical data?
Frage 47
Frage
Data Warehouses EDWH
Antworten
-
is a subset of the data, that typically belongs to a deparment
-
is a framework open source
-
usually interface with an OLAP sYstem to support analytical queries
Frage 48
Antworten
-
this allows the data to be queried during any data analysis
-
Heavily used by BI to run various analytical queries
-
software system that processes transaction-orientes data
Frage 49
Antworten
-
social media, facebook twitter
-
OLTP, ERP, CRM and SCM systems
-
OLAP, ERP, CRM and SCM systems
Frage 50
Antworten
-
For the amount data contained will continue to increase. The anlysis BI can suffer.
-
Is a process of loading data from a source system into a target system
-
software system that processes transaction-orientes data
Frage 51
Antworten
-
Has established itself as a de facto industry platform for contemporary Big Data solutions
-
usually contain optimized databases, called analytical databases to handle reporting and data analysis
-
Represents de main operation through wich database are fed data
Frage 52
Frage
EDWH: analytical database can´t exist as separate DBMS
Frage 53
Antworten
-
is a subset of the data, that typically belongs to a deparment
-
can have multiple EDWH
-
based on cleansed data, which is a prerequisite for accurate and error-free reports
Frage 54
Frage
hadoop is open source framework for
Antworten
-
large data storage
-
data processing
-
diagnostic, predictive and prescriptive
-
run on commodity hardware
-
denormalized data in the form of cubes
Frage 55
Antworten
-
has established itself as a de facto industry platform for contemporary Big Data solutions
-
is a central, enterprise-wide repository
-
is always fed with data from multiple OLTP system using regular batch processing jobs
Frage 56
Frage
hadoop can be used as engine of
Frage 57
Frage
hadoop can process large amounts of structured, semi-structured and unstructured data
Frage 58
Antworten
-
insert data
-
process data
-
velocity processing
Frage 59
Frage
Data volumes can include
Frage 60
Antworten
-
multiple types of data that need to be supported by Big Data solutions
-
data translates into the amount of time it takes for the data to be processed
-
data is processed by Big Data solutions is substantial and usually ever growing
Frage 61
Frage
Depending on the data source, velocity may not always be high
Frage 62
Antworten
-
Quality or fidelity of data
-
usefulness of data for an enterprise
-
refers to the multiple formats and types of data that need to be supported by Big Data Solutions
Frage 63
Antworten
-
The appropriate form of data storage
-
Refers to the quality or fidelity of data
-
Refers ti the usefulness of data for an enterprise
Frage 64
Frage
Noise and SIgnal refers to
Frage 65
Antworten
-
refers to quality or fidelity of data
-
refers to the multiple formats and types of data that need to be supported
-
refers to usefulness of data for an enterprise
Frage 66
Frage
the value is directly related to the veracity in that de higher the data fidelity, the more value it holds for the business.
Frage 67
Antworten
-
structured data, unstructured data, semi-structured data
-
structured data, unstructured data, semi-structured data, metadata
Frage 68
Frage
ERP and CRM are example of
Antworten
-
unstructured data
-
structured data
-
semi-structured data
Frage 69
Frage
image, audio and video files are examples of
Antworten
-
semi-structured data
-
unstructured data
-
strutured data
Frage 70
Frage
Unstructured data generally makes up 80%
Frage 71
Frage
unstructured data does generally require special or customized logic when it comes to pre-processing and storage
Frage 72
Frage
semi-structured data
Antworten
-
has a defined level of structured and consistency can be relational in nature
-
has a defined level of structured and consistenc, but cannot be relational in nature
-
cannot be inheremtly processed or queried using SQL or traditional programming features
Frage 73
Frage
semi_structured data
Antworten
-
CRM or ERP
-
XML or , electronic data interchanges, e-mails, spreaddheets, RSS feeds and senso data
-
image or adio files
Frage 74
Frage 75
Frage
metadata generally machine generated and utomatically appended to the data
Frage 76
Frage 77
Frage
semi-structured data and unstructured data have a greater noise-to-signal ratio than structured data
Frage 78
Frage
can ETL can cleansing data and verification
Frage 79
Antworten
-
quantitative analysis
-
cientics analysis
-
qualitative analysis
-
data mining
Frage 80
Frage
quantitative analysis
Frage 81
Frage
qualitative analysis use
Frage 82
Frage
involve analyzing a smaller sample in greater depth
Antworten
-
quantitave analysis
-
qualitative analysis
Frage 83
Frage
analysis that targets large datasets
Antworten
-
quantitative analysis
-
data mining
-
qualitative analysis
Frage 84
Frage
data mining (data discovery)
Frage 85
Frage
data mining forms the basis for predictive analytics and business intelligence (BI)
Frage 86
Frage
analysis tools can automate data analyses
Frage 87
Frage
descriptive , diagnostic , predictive , prescriptive
Antworten
-
types of analytics
-
types of analisys
-
diagnostic
Frage 88
Frage
questions about events that have already occurred
Antworten
-
diagnostic analytics
-
descriptive analytics
-
predictive analytics
Frage 89
Frage
reporting or dahsboards. The reports are generally static, queries are executed in OLTP such CRM and ERP
Antworten
-
descriptive analytis
-
diagnostic analytics
-
preescriptive analytics
Frage 90
Frage
determine the causes of a phenomenon that occurred in the past
Antworten
-
descriptive analytics
-
diagnostic analytics
-
predictive analytics
Frage 91
Frage
interactive visualization to identify trends and patterns, and queries are executed in OLAP systems
Antworten
-
descriptive analytics
-
diagnostic analytics
-
preescriptive analytics
Frage 92
Frage
attemp to determine the outcome of an event that might occur in the future
Antworten
-
preescriptive analytics
-
predictive analytics
-
descriptive analytics
Frage 93
Frage
The focus is on which prescribed option to follow and why and when it should be followed, to gain and advantage or mitigate risk
Antworten
-
descriptive analytics
-
prescriptive analytics
-
predictive analytics
Frage 94
Frage
incorporate internal data (historical etc..) and external data (social media, demographic data)
Antworten
-
descriptive analytics
-
prescriptive analytics
-
diagnostic analytics
Frage 95
Antworten
-
is the process of teaching computers to learn from existing data and apply the acquired knowledge to formulate predictions about unknow data.
-
is the discipline of teaching computers to learn from existing data and apply the acquired knowledge to formulate predictions about unknow data.
-
is the framework refers to teaching computers to learn from existing data and apply the acquired knowledge to formulate predictions about unknow data.
Frage 96
Frage
based on the input data and categorys
Antworten
-
supervised learning
-
unsupervised learning
Frage 97
Frage
the algorithm attemp to categorized data by grouping data with similara attributes together
Antworten
-
supervised learning
-
unsupervised learning
Frage 98
Frage
machine learning makes predictions and identify hidden patterns
Frage 99
Frage
machine learning can use the output from data mining for further data classification.
Frage 100
Frage
traditional BI utilizes
Antworten
-
descriptive and diagnostic
-
diagnostic and predictive
-
descriptive an prescriptive
Frage 101
Frage
ad-hoc reports and dashboards
Antworten
-
tradictional Big Data
-
traditional BI
Frage 102
Frage 103
Antworten
-
facilitate the development of an enterprise-wide understanding of the way a bussines works
-
focus on indivicual bussines processes
-
descriptive and diagnostic to facilitate the development of an an enterprise-wide understanding of the way a bussines works
Frage 104
Frage
data visualization analytical results are graphically communicated using elements like
Antworten
-
charts, maps, data grids, infographics and alerts
-
ad-hoc reports drill, down
-
dashboards
Frage 105
Frage
data visualization tool in Big Data use
Frage 106
Antworten
-
groups data across multiple categories to show subtotals and totals
-
global an sumarized view of data across multiple context
-
enables a detail view of the data of interest by focusing in on a data subset
Frage 107
Frage
visualization features: drill down
Antworten
-
enables a detail view of the data of interest by focusing in on a data subset
-
global an sumarized view of data across multiple context
-
groups data across multiple categories to show subtotals and totals
Frage 108
Frage
visualization features: roll up
Antworten
-
global an sumarized view of data across multiple context
-
groups data across multiple categories to show subtotals and totals
-
enables a detail view of the data of interest by focusing in on a data subset
Frage 109
Frage
data visualization tools for Big data solutions incorporate
Frage 110
Frage
in the advance visualizations you needs an ETL